Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan

The purpose of h s study was to model, design and develop an intelligent decision support system, which is capable of identifying the characteristics of a high information technology venture at each stage of its growth. This system focuses on serving venture capitalists in the process of eduation an...

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Main Author: Ahmad Nazri, Mohd. Zakree
Format: Thesis
Language:English
Published: 2001
Subjects:
Online Access:http://eprints.utm.my/id/eprint/6673/6/MohdZakreeAhmadNazriMFC2001.PDF
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spelling my-utm-ep.66732020-07-27T08:40:59Z Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan 2001-10 Ahmad Nazri, Mohd. Zakree QA76 Computer software The purpose of h s study was to model, design and develop an intelligent decision support system, which is capable of identifying the characteristics of a high information technology venture at each stage of its growth. This system focuses on serving venture capitalists in the process of eduation and selection in efficient and effective approach. Early findings in this study conclude that venture capitalists barely rely on their instincts during the decision making process. Researcher scientifically has proven that this method has a number of critical drawbacks. By using a framework developed by Keen, Morton and Meador and the Bell-Mason model, the Multi Attribute Analysis and an Inference engine were integrated into the system. The system named Technopreneurial Intelligent Decision Support System (TDSS) was developed using Visual Basic 6.0, Prolog and Knowledge Specification Language. From this study, it is concluded that TIDSS can ease the evaluation and selection process. This study also has derived a systematic approach m evaluating technopreneur by improving the process effectiveness and proficiency. TIDSS is also capable in training new user with the knowledge based system as it contains technical articles and help file in understanding Bell-Mason model. 2001-10 Thesis http://eprints.utm.my/id/eprint/6673/ http://eprints.utm.my/id/eprint/6673/6/MohdZakreeAhmadNazriMFC2001.PDF application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62340 masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ahmad Nazri, Mohd. Zakree
Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
description The purpose of h s study was to model, design and develop an intelligent decision support system, which is capable of identifying the characteristics of a high information technology venture at each stage of its growth. This system focuses on serving venture capitalists in the process of eduation and selection in efficient and effective approach. Early findings in this study conclude that venture capitalists barely rely on their instincts during the decision making process. Researcher scientifically has proven that this method has a number of critical drawbacks. By using a framework developed by Keen, Morton and Meador and the Bell-Mason model, the Multi Attribute Analysis and an Inference engine were integrated into the system. The system named Technopreneurial Intelligent Decision Support System (TDSS) was developed using Visual Basic 6.0, Prolog and Knowledge Specification Language. From this study, it is concluded that TIDSS can ease the evaluation and selection process. This study also has derived a systematic approach m evaluating technopreneur by improving the process effectiveness and proficiency. TIDSS is also capable in training new user with the knowledge based system as it contains technical articles and help file in understanding Bell-Mason model.
format Thesis
qualification_level Master's degree
author Ahmad Nazri, Mohd. Zakree
author_facet Ahmad Nazri, Mohd. Zakree
author_sort Ahmad Nazri, Mohd. Zakree
title Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
title_short Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
title_full Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
title_fullStr Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
title_full_unstemmed Sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
title_sort sistem sokongan keputusan cerdas untuk penilaian keteknousahawanan
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2001
url http://eprints.utm.my/id/eprint/6673/6/MohdZakreeAhmadNazriMFC2001.PDF
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